SWARM Engineering Raises $10M in Series A Funding

The round also saw participation from Radicle Growth, Grit Road Partners, Middleland Capital, Open Prairie, Serra Ventures, and Trailhead Capital.

The company plans to use the funding to accelerate the development of its operational AI roadmap and expand its decision intelligence capabilities across additional use cases.

The pressure is increasing as global trade disruptions reshape supply chains, while costs for materials, labor, and transportation remain unpredictable. As a result, many operations leaders are no longer asking whether they should invest in AI—they are focused on how quickly they can implement it to improve efficiency and decision-making.

Many companies still rely on planning systems designed for a slower and more predictable business environment. SWARM aims to solve this problem with AI agents and optimization technology built specifically for complex operational decisions. The company was founded by former leaders from Microsoft, Palantir, Google, and UiPath with expertise in AI, optimization, and industrial operations.

SWARM's platform understands the real-world constraints, variables, and decision-making processes that drive agrifood and manufacturing businesses, helping organizations make faster and more informed decisions.

The company also announced that Jason Trusley, Senior Vice President and Chief Strategy Officer at Land O'Lakes, has joined its Advisory Board, bringing extensive experience in enterprise strategy and the U.S. agrifood industry.

SWARM's operational AI platform is specifically designed for the agrifood and manufacturing industries. It combines AI agents and advanced optimization technology in a single system that understands how businesses in these sectors make complex operational decisions.

The platform uses real-time data, captures and preserves organizational knowledge, and analyzes thousands of variables at once. This allows companies to evaluate different scenarios and make faster, more informed decisions in minutes rather than days.

"We run a complex multi-site manufacturing operation where inventory decisions have real financial consequences. SWARM didn't just improve our planning process, it changed what's possible. We freed up working capital we didn't know we had and cut planning cycles by 40%. That is what domain-trained AI looks like in a manufacturing environment," said Oscar Bolaños, COO, Springs Window Fashions, a global manufacturer of custom window treatments with more than 9,000 employees and brands including Bali, Graber, and Horizons.

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"Most AI platforms are built for generic problems. Agrifood and manufacturing don't have generic problems. Co-leading this round reflects our conviction in the platform SWARM is building and the management team behind it, one with the domain depth and enterprise-grade foundation to become a defining player in how these industries operate," said Mike Wise, Principal at S2G Investments.

"Agrifood has been underserved by technology for decades. SWARM is the first company we have seen that truly understands how operational decisions get made in this industry, at the field level, the facility level, and the network level. Shail brings the kind of operator credibility this industry demands and rarely gets from an AI company. That is why we co-led this round," said Kirk Haney, Managing Partner at Radicle Growth.

About SWARM Engineering

Founded in 2016, SWARM Engineering is a decision intelligence company focused on the agrifood and manufacturing sectors. The company combines industry-specific AI agents and optimization technology to help operations teams make faster, and better decisions across supply chains, workforce management and logistics. Built specifically for the needs of agrifood and manufacturing businesses, SWARM provides reliable, transparent, and actionable recommendations that teams can use immediately to improve operational performance.

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